WooCommerce Blocks moves product, cart, checkout, and account experiences into block-based templates rendered by the Site Editor. SleekAI maps the same product fields from wp_posts and wp_postmeta, plus order data via the WooCommerce store API for logged-in customers, into the chatbot's system message. The result is a bot that knows which product, category, or cart the visitor is looking at on any block template, even custom ones you build in the Site Editor.

Display conditions scope each bot by template, post type, taxonomy term, user role, and URL pattern. A product-page bot can run on the Single Product block template, a checkout assistant can run on the Checkout block, and a recommender can run on the Shop block, all under multibot. For large stores, sync products into an OpenAI Files vector store of up to one gigabyte per file so the model retrieves only the rows that match the question.

Every conversation logs inside WordPress with the model, token usage, and page URL. The JS API and PHP embed let you wire the chatbot into custom blocks, like a "Need help?" block on the Mini Cart or a contextual launcher under Product Collection results, without rebuilding the storefront.

WooCommerce Blocks is the future of the WooCommerce front end, and the Single Product, Cart, Checkout, and Account block templates are increasingly the default for new stores. Each of those templates is a different conversation context. A shopper on a Single Product block has questions about fit and stock.

A shopper on the Cart block has questions about coupons and shipping. A shopper on the Checkout block is two clicks from a transaction and asking about delivery windows and payment methods. A generic chatbot treats all of those moments the same, because it does not know which block template is loaded, what is in the cart, or what your real shipping windows are.

The result is the worst kind of AI experience: a confident-sounding answer that turns out to be wrong, which becomes a refund ticket or a bad review. SleekAI knows the WooCommerce data layer the same way the storefront does, and its display conditions key off the same template slugs the Site Editor uses. That means a Single Product bot, a Cart bot, and a Checkout bot can run on the same site under multibot, each with its own prompt, its own model, and its own scope.

Conversation logs live in WordPress, so the recurring cart and checkout objections become content fixes and policy clarifications rather than a stream of tickets.